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Evac Opus 14B Exp by prithivMLmods

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  Abliterated   Autotrain compatible Base model:finetune:prithivmlm... Base model:prithivmlmods/elita...   Conversational   En   Endpoints compatible   Evac   Qwen   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Zh
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Evac-Opus-14B-Exp 

Evac Opus 14B Exp Benchmarks

MMLU Pro: 47.96
GPQA: 18.46
MUSR: 18.63
BBH: 49.58
IFEval: 59.16 vs 88 (so35)-32.8%
MATH Lvl 5: 42.15
LLME Score: 0.42529
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Evac Opus 14B Exp (prithivMLmods/Evac-Opus-14B-Exp)

Evac Opus 14B Exp Parameters and Internals

LLM NameEvac Opus 14B Exp
Repository 🤗https://huggingface.co/prithivMLmods/Evac-Opus-14B-Exp 
Base Model(s)  Elita 1   prithivMLmods/Elita-1
Model Size14b
Required VRAM29.7 GB
Updated2025-02-21
MaintainerprithivMLmods
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Evac-Opus-14B-Exp.

Rank the Evac Opus 14B Exp Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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